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Hello all,
I wonder if anyone has a pretrained model available for the equivariant ResNet from [this example](https://github.com/QUVA-Lab/escnn/blob/master/examples/e2wrn.py) and the SE(3) equivari…
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Hi @awaelchli
So sorry for the last minute question! I have been closely following physics-informed / equivariant neural networks over the last few months, and I was very excited to see our overlap…
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from https://github.com/jax-md/jax-md/blob/main/notebooks/equivariant_neural_networks.ipynb
```
def single_loss_fn(params, position, E_target, F_target):
l_nbrs = nbrs.update(position)
E, G …
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could you please share how to turn off equivariance, I would like to apply this model for my use case, where I also don't need equivariance
_Originally posted by @Ala1s in https://github.com/ehooge…
Ala1s updated
3 months ago
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Hi. I find the way you calculate radial is different from other similar works, e.g., EGNN.
Your strategy. the radial is the dot product of the coord differences.
```python
def coord2radial(edge_i…
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4 topics:
A. transformers:
- [x] MAT ( https://github.com/ardigen/MAT & https://arxiv.org/abs/2002.08264)
- [ ] RMAT (https://github.com/gmum/huggingmolecules & https://arxiv.org/abs/2110.05…
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### 🚀 The feature, motivation and pitch
A new equivariant model with SOTA on QM9+MD17. Could be a great addition to PyG!
* Paper: https://arxiv.org/abs/2204.05249
* Code: https://github.com/mir…
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I think it is interested to think of the projects using TFGA for quaternion transformation with nn.
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There are a lot of "Orientation Estimation Network" related paper.
Could you give its all name?
which dataset you are using, could you give the dataset's name?
thanks anyway.
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Hi,
I've heard of this strong model which can learn atomic coordinates. Now I want to adapt this model for my project, but I find the code is a bit complicated and hard to follow. (The paper also c…